Analysis of the algorithm: From rankings to backup genes.

Ranking section

For each of the affected genes present in the list, a ranking with the score and percentile of every possible gene was obtained. Once this was done, the position for every known backup gene was obtained and the statistical descriptor of all the values calculated.

Table 1. Backup position values for every kernel and net before integration.

Net	Kernel	Elements	Min	Max	Average	Standard_Deviation
biological_process	ct	2	0.286	0.452	0.369	0.083
biological_process	el	2	0.381	0.464	0.423	0.042
biological_process	ka	2	0.381	0.476	0.429	0.048
biological_process	rf	2	0.333	0.452	0.393	0.06
cellular_component	ct	2	0.311	0.467	0.389	0.078
cellular_component	el	2	0.311	0.456	0.383	0.072
cellular_component	ka	2	0.311	0.433	0.372	0.061
cellular_component	rf	2	0.311	0.478	0.394	0.083
molecular_function	ct	2	0.182	0.591	0.386	0.205
molecular_function	el	2	0.182	0.614	0.398	0.216
molecular_function	ka	2	0.045	0.614	0.33	0.284
molecular_function	rf	2	0.08	0.591	0.335	0.256
phenotype	ct	1	0.62	0.62	0.62	0.0
phenotype	el	1	0.56	0.56	0.56	0.0
phenotype	ka	1	0.54	0.54	0.54	0.0
phenotype	rf	1	0.6	0.6	0.6	0.0

Table 2. Backup position values for every kernel after integration

Integration	Kernel	Elements	Min	Max	Average	Standard_Deviation
integration_mean_by_presence	ct	3	0.091	0.758	0.375	0.281
integration_mean_by_presence	el	3	0.167	0.763	0.386	0.268
integration_mean_by_presence	ka	3	0.202	0.621	0.389	0.174
integration_mean_by_presence	rf	3	0.192	0.798	0.404	0.279
mean	ct	3	0.066	0.758	0.365	0.29
mean	el	3	0.141	0.768	0.365	0.285
mean	ka	3	0.096	0.753	0.355	0.285
mean	rf	3	0.121	0.798	0.357	0.312

Table 1. Seed Gen number of annotations for each type of information .